国内和硅谷的一些 ai 创业公司招聘：全栈开发工程师、广告后端开发工程师、机器学习工程师、core engineer、prompt、data、game engineer

一、硅谷 ai 广告创业公司，岗位可以 base 硅谷或者国内 remote 办公
1. Ads infra engineer
- Responsibility
- Build and scale our AI-native ads system
- Requirements
- Extensive experience with programmatic ad systems
- Familiar with the different players in the ads ecosystem and the business landscape
- Solid understanding of the business logic of programmatic ad systems, including intent recognition, targeting, ad matching, pricing, etc.
- practical experience working in the cloud (GCP, AWS, etc)
- Preferably have experience optimizing low-latency, high-throughput backend optimization
- Our stack is based on Python and Go, experience with other programming languages is a plus
- Ideal candidate
- Have at least 2 years of experience in programmatic ads systems
- Either very young, hungry or very experienced
- Have a holistic view on the programmatic ads ecosystem (not specific to a particular function in big tech), know of technologies like OpenRTB or the practical applications
- Strong interest in GenAI
- Have experience in high-growth team/project at established companies or experience at startup

2. ML engineer
- Responsibility
- Understand business objective, able to independently define metrics, get data, train model, and deliver results
- Build the ads system as well as the LLM-native part
- Based on the data, optimize the system against the metrics, try out different ML algorithms
- Productionize & scale the ML pipeline in a backend system, improve latency
- Requirement
- You either have extensive LLM / Generative image / video experience, or extensive ad system / recommendation system. Ideally both.
- Experience in deep learning architectures and frameworks (e.g., PyTorch, TensorFlow).
- Strong programming skills in Python and proficiency in relevant ML libraries.
- Experience with LLM/NLP is strongly preferred

3. Research engineer - generative video (accept intern/full-time/part-time)
- Responsibility
- Follow cutting-edge results in video generation and video editing
- Build and iterate research prototypes in fast iterations to achieve key business objectives
- Productionize the prototypes with the engineering team and ensure key performance metrics in monetization and user experience
- Note: this role does not involve training foundation models, but rather focuses on building products based on foundation model capabilities
- Requirement
- Strong passion and experience in generative AI, especially in generative video and video editing space
- Experience with leading AI research tech stack, including but not limited to Python, PyTorch, cuda, etc.
- Strong interest in creating real-world impact with cutting-edge AI technology
- Strong communication ability with both verbal and written communications
- (optional) experience building products on top of latest research results, experience with comfyui is a plus

二、服装生成系统领域 aigc 创业公司，base 深圳（ 25-45k ）
全栈开发工程师
职位描述
参与开发生成式人工智能代理系统。负责前后端的开发与维护，确保产品能够提供卓越的用户体验。

职位要求
精通技术栈：
熟练掌握 JavaScript 、HTML 、CSS
精通至少一种现代前端框架，如 React 、Vue 或 Angular ，并具备实际项目经验
熟悉后端开发，掌握 Go 、Node.js 、Python 或 Java 等语言，拥有独立开发经验

开发经验：
了解敏捷开发方法，能够快速迭代并交付高质量的代码
有前端性能优化及响应式设计的实践经验
有从 0 到 1 开发产品的经验，能够独立完成产品原型到上线的全过程
具备良好的代码质量意识，能够进行代码评审和设计评审

其他要求：
有电商网站或 AIGC 产品开发经验者优先
有海外产品开发经验者优先
具备创业或小型团队工作经验者优先

三、知名大模型基座&应用公司，base 北京
职位描述
1. 负责构建大模型基础及应用平台，包括前后端设计、开发和实施；
2. 对现有产品进行标准化改造，对接标准云体系相关组件；
3. 深入了解和实践前/后端工程化体系建设、开发规范、组件化和测试；
4. 将设计方案转化为具体的平台功能，并持续跟踪结果，不断优化用户体验。
职位要求
1. 熟悉云基础概念，有云平台开发经验，熟练掌握云服务账号体系、多组服务等相关概念；
2. 熟悉云原生、K8S 等相关概念，能基于 K8S 进行应用开发及运维；理解 K8S 实现原理，能进行简单组件开发；
3. 熟悉大模型基础概念，优先考虑有大模型平台建设经验者；
4. 熟练掌握 JS React / Java Spring / Python FastAPI 等前后端开发框架，能进行全栈开发；
5. 对计算机科学和互联网技术有热情，深刻理解各种前后端技术；
6. 具备良好的服务意识、责任心、强大的学习能力以及出色的团队沟通与协作能力。

四、硅谷 ai platform 创业公司，base 硅谷或国内远程办公
1 、core engineer
tldr; we need engineers that are nimble, dynamic, and can take ownership of many parts of the stack. you will be building a platform that affects real users every day.

what you’ll be doing
architecting and implementing stuff that matters
writing a ton of code (our tech stack is
solving hard engineering problems
talking to users to debug

you should probably:
have built real things that real people use (2+ years)
be comfortable with our stack:
typescript + next.js + react
python
postgresQL, scylla, redis, milvus
actually enjoy the chaos of startup life
have experience building with AI - an “AI engineer”
fix things without being asked
it’s a bonus if you have been a founder/cto in the past

2 、prompt engineer / ai specialist
tldr; we need people who really love talking (and whispering) to llms. you will be directly affecting the way that tens of thousands of people everyday talk to ai.

what you’ll be doing
talking with llms to create & refine prompts
brainstorming at the intersection of llms & product
being creative with words
talking to users for fun

you should probably:
be obsessed with LLMs, experimenting with prompts for fun or contributing to communities like SillyTavern, LocalLLaMA, Chub
love tinkering with AI models and exploring their quirks, strengths, and weaknesses.
have a portfolio of creative AI work—whether it’s a clever chatbot, a hobby project, or a library of impressive prompts
view language as both an art and a science

3 、ai & data engineer
tldr; we are seeking engineers who love working with data at the cutting edge of artificial intelligence.

what you’ll be doing
designing and building data pipelines to support AI model training, inference
optimizing ai inference and serving
solving gnarly data and infrastructure problems to help our platform scale
staying up to date on cutting-edge research & products in the ai space

you should probably:
have some experience building and maintaining data pipelines and distributed systems (2+ years)
be familiar with training and deploying AI models in production environments
be obsessed with hard problems at the intersection of ai and data engineering
bonus: if you’ve built a neural network or ai recommendation engine from scratch

4 、game developer
tldr; we’re looking for a game developer who’s passionate about blending creativity and technology to build ai-driven gaming experiences. you will be using traditional game engines like unity and blending them with the possibilities enabled by ai.

what you’ll be doing
designing and developing gameplay systems and mechanics powered by ai
rapidly prototyping game features to push the boundaries of what’s possible with AI in gaming
working with the rest of the team to integrate AI elements like NPCs, dialogue systems, and procedurally generated content into game systems

you should probably:
be skilled in Unity, Unreal Engine, or a similar game engine
have solid programming skills (C#, C++, or Python)
love games and storytelling, with a deep interest in creating unique, AI-enhanced experiences
be curious about ai

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